package com.atguigu.day07;

import com.atguigu.bean.WaterSensor;
import org.apache.flink.api.common.eventtime.*;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

import java.time.Duration;

import static org.apache.flink.util.Preconditions.checkArgument;
import static org.apache.flink.util.Preconditions.checkNotNull;

public class Flink01_WaterMark_Custom {
    public static void main(String[] args) throws Exception {
        //1.获取流的执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        //手动设置WaterMark周期生成的时间
//        env.getConfig().setAutoWatermarkInterval(1000);

        env.setParallelism(1);

        //2.从端口读取数据
        DataStreamSource<String> streamSource = env.socketTextStream("localhost", 9999);

        SingleOutputStreamOperator<WaterSensor> waterSensorSingleOutputStreamOperator = streamSource.map(new MapFunction<String, WaterSensor>() {
            @Override
            public WaterSensor map(String value) throws Exception {
                String[] split = value.split(",");
                return new WaterSensor(split[0], Long.parseLong(split[1]), Integer.parseInt(split[2]));
            }
        });

        //3.指定WaterMark  自定义WaterMark
        SingleOutputStreamOperator<WaterSensor> assignTimestampsAndWatermarks = waterSensorSingleOutputStreamOperator.assignTimestampsAndWatermarks(WatermarkStrategy.forGenerator(new WatermarkGeneratorSupplier<WaterSensor>() {
            @Override
            public WatermarkGenerator<WaterSensor> createWatermarkGenerator(Context context) {
                return new MyWaterMarkGenerator(Duration.ofSeconds(3));
            }
        }).withTimestampAssigner(new SerializableTimestampAssigner<WaterSensor>() {
            @Override
            public long extractTimestamp(WaterSensor element, long recordTimestamp) {
                return element.getTs() * 1000;
            }
        }));

        WindowedStream<WaterSensor, Tuple, TimeWindow> window = assignTimestampsAndWatermarks.keyBy("id")
                .window(TumblingEventTimeWindows.of(Time.seconds(5)));


        window.sum("vc");

        window.process(new ProcessWindowFunction<WaterSensor, String, Tuple, TimeWindow>() {
            @Override
            public void process(Tuple tuple, Context context, Iterable<WaterSensor> elements, Collector<String> out) throws Exception {
                String msg =
                        "窗口: [" + context.window().getStart() / 1000 + "," + context.window().getEnd() / 1000 + ") 一共有 "
                                + elements.spliterator().estimateSize() + "条数据 ";
                out.collect(msg);
            }
        }).print();


        env.execute();
    }

    public static class MyWaterMarkGenerator implements WatermarkGenerator<WaterSensor>{
        /** 当前最大的事件时间戳. */
        private long maxTimestamp;

        /** WaterMark延迟时间. */
        private long outOfOrdernessMillis;

        public MyWaterMarkGenerator(Duration maxOutOfOrderness) {

            this.outOfOrdernessMillis = maxOutOfOrderness.toMillis();

            // WWaterMark初始值
            this.maxTimestamp = Long.MIN_VALUE + outOfOrdernessMillis + 1;
        }

        //如果在这个方法中生成WaterMark 那么就是间歇式生成WaterMark
        @Override
        public void onEvent(WaterSensor event, long eventTimestamp, WatermarkOutput output) {
            maxTimestamp = Math.max(maxTimestamp, eventTimestamp);
//            System.out.println("WaterMark："+(maxTimestamp - outOfOrdernessMillis - 1));
//            output.emitWatermark(new Watermark(maxTimestamp - outOfOrdernessMillis - 1));
        }


        //如果在这个方法中生成WaterMark 那么就是周期性生成WaterMark
        @Override
        public void onPeriodicEmit(WatermarkOutput output) {
            System.out.println("WaterMark："+(maxTimestamp - outOfOrdernessMillis - 1));
            output.emitWatermark(new Watermark(maxTimestamp - outOfOrdernessMillis - 1));
        }
    }
}
